Data Scientist

Educational Background:

• Bachelors and Masters degrees in Data Science, Computer Science, Statistics, or a related field.

Technical Skills:

• Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch).
  

• Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines.
  

• Competence in data preprocessing, cleaning, and analysis.
  

• Familiarity with data cleaning, transformation, and preprocessing techniques.
  

• Experience with SQL and possibly some NoSQL databases for data querying and manipulation.
  

• Basic knowledge of data visualization tools like Matplotlib and Seaborn.
  

• Strong skills in SQL for data extraction, and the ability to work with complex database systems.
  

• Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (eg, SAS, SPSS).
  

• Experience with data visualization and the ability to create interactive dashboards.
  

• Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more.
  

• Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage..

Professional Experience :

• 2-3 years of experience in a data science or related role.
  

• Proven track record of developing and deploying machine learning models to solve business problems.
  

• Experience in projects that involve complex data structures and large-scale datasets.
  

• Exposure to model validation and implementation in a production environment.
  

• Demonstrated experience in analyzing large datasets and delivering actionable insights.
  

• Proven track record of effectively communicating findings to help inform business decisions.
  

• Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities.

Soft Skills :

• Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach.
  

• Good communication skills to effectively articulate insights and technical details to non-technical stakeholders.
  

• Ability to work collaboratively in team settings and manage project timelines effectively.
  

• Strong attention to detail with the capability to work on multiple projects simultaneously.
  

• Effective communication skills, capable of presenting complex information in an understandable and compelling manner.

• Collaboration skills to work effectively with both technical teams and business units.

Benefits

• Performance Bonuses : Additional 10% to 20% of the base salary, based on performance.
  
• Additional Perks: Health insurance, professional development opportunities, flexible working hours.

Why Join Us

• Work with a globally recognized team on cutting-edge AI/ML projects.
  
• Be a part of a culture that values curiosity, continuous learning, and impact.
  
• Opportunity to collaborate with Fortune 500 clients and industry leaders.
  
• Grow your career by becoming an instructor and sharing your knowledge worldwide.
  
  
  

  Join us in driving the future of AI and Data Science